I am a Data Engineer with over 12 years of experience evolving from data reporting and analytics into building scalable, production-grade data systems.
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I am a Data Engineer with over 12 years of experience working across data reporting, analytics, and modern data engineering. My career has evolved from building reports and analysing business data to designing and delivering scalable data pipelines and cloud-based data solutions.
I specialise in building end-to-end data pipelines (ETL/ELT) across both batch and real-time environments, using tools such as Python, SQL, Apache Airflow, Spark, Kafka, and AWS. I have hands-on experience developing event-driven pipelines, optimising data workflows, and ensuring high data quality through validation and monitoring frameworks.
In my current role, I focus on:
Designing and maintaining scalable data pipelines
Developing data models and curated datasets for analytics and reporting
Supporting real-time data ingestion and processing
Implementing data governance and data quality practices
Collaborating with cross-functional teams to deliver reliable data solutions
What sets me apart is my ability to bridge the gap between business and technology. With a strong background in reporting and stakeholder collaboration, I understand how to translate business requirements into effective data solutions that deliver real impact.
I am particularly interested in opportunities involving:
Real-time and event-driven data systems
Data platform and data product development
Cloud-based data engineering
Solving complex business problems through data
I’m always open to connecting with professionals and organisations working in data engineering, analytics, and cloud data platforms.
Amdari (Remote, UK)
Jul 2025 – Present
Designed and implemented scalable data pipelines across batch and real-time environments, supporting enterprise data transformation initiatives
Built and optimised event-driven data pipelines using Kafka and Airflow, enabling near real-time data processing
Developed data models and curated datasets to support analytics, reporting, and data product delivery
Delivered a Medallion Architecture (Bronze, Silver, Gold) on AWS, improving data accessibility, scalability, and governance
Implemented data validation and quality frameworks, ensuring high levels of data reliability and integrity
Collaborated with engineering, architecture, and business teams to deliver aligned and scalable data solutions
Built Spark/Databricks pipelines to process large datasets efficiently
Optimised PostgreSQL performance, improving query efficiency and system performance
Enabled automated reporting and real-time insights through Power BI integration
Virgin Media O2 (Remote, UK)
Aug 2024 – Mar 2025
Led User Acceptance Testing (UAT) for platform deployment, contributing to a successful system rollout
Managed and resolved 20–30 data-related issues daily, ensuring SLA compliance and system reliability
Validated and onboarded 1,000+ users, strengthening data security and governance processes
Worked closely with cross-functional teams to improve data workflows and reporting processes
Virgin Media O2 (Remote, UK)
Dec 2014 – Jul 2024
Designed and automated reporting pipelines using SQL, VBA, and MS Access, reducing manual effort by 70–80%
Processed large volumes of data into actionable insights and reports
Delivered 50+ weekly reports, supporting operational and business decision-making
Managed SharePoint data access and permissions for large user groups
Collaborated with stakeholders to improve reporting efficiency and data accessibility
AiCore – Data Engineering Programme
Nov 2022 – Jan 2024
Specialised in Data Engineering, Cloud Data Platforms, and Pipeline Development
Gained hands-on experience with Python, SQL, Spark, AWS, and Airflow
Udemy Certifications (Continuous Learning)
2024 – 2025
BSc Computer Systems (Computer Science)
Sep 2002 – Jun 2006
